import argparse import time import cv2 import numpy as np from lerobot.common.robot_devices.control_utils import is_headless from lerobot.common.robot_devices.robots.configs import RobotConfig from lerobot.common.robot_devices.robots.utils import make_robot_from_config from lerobot.configs import parser from lerobot.scripts.server.kinematics import RobotKinematics follower_port = "/dev/tty.usbmodem58760431631" leader_port = "/dev/tty.usbmodem58760433331" def find_joint_bounds( robot, control_time_s=30, display_cameras=False, ): if not robot.is_connected: robot.connect() start_episode_t = time.perf_counter() pos_list = [] while True: observation, action = robot.teleop_step(record_data=True) # Wait for 5 seconds to stabilize the robot initial position if time.perf_counter() - start_episode_t < 5: continue pos_list.append(robot.follower_arms["main"].read("Present_Position")) if display_cameras and not is_headless(): image_keys = [key for key in observation if "image" in key] for key in image_keys: cv2.imshow(key, cv2.cvtColor(observation[key].numpy(), cv2.COLOR_RGB2BGR)) cv2.waitKey(1) if time.perf_counter() - start_episode_t > control_time_s: max = np.max(np.stack(pos_list), 0) min = np.min(np.stack(pos_list), 0) print(f"Max angle position per joint {max}") print(f"Min angle position per joint {min}") break def find_ee_bounds( robot, control_time_s=30, display_cameras=False, ): if not robot.is_connected: robot.connect() start_episode_t = time.perf_counter() ee_list = [] while True: observation, action = robot.teleop_step(record_data=True) # Wait for 5 seconds to stabilize the robot initial position if time.perf_counter() - start_episode_t < 5: continue kinematics = RobotKinematics(robot.robot_type) joint_positions = robot.follower_arms["main"].read("Present_Position") print(f"Joint positions: {joint_positions}") ee_list.append(kinematics.fk_gripper_tip(joint_positions)[:3, 3]) if display_cameras and not is_headless(): image_keys = [key for key in observation if "image" in key] for key in image_keys: cv2.imshow(key, cv2.cvtColor(observation[key].numpy(), cv2.COLOR_RGB2BGR)) cv2.waitKey(1) if time.perf_counter() - start_episode_t > control_time_s: max = np.max(np.stack(ee_list), 0) min = np.min(np.stack(ee_list), 0) print(f"Max ee position {max}") print(f"Min ee position {min}") break def make_robot(robot_type="so100"): """ Create a robot instance using the appropriate robot config class. Args: robot_type: Robot type string (e.g., "so100", "koch", "aloha") Returns: Robot instance """ # Get the appropriate robot config class based on robot_type robot_config = RobotConfig.get_choice_class(robot_type)(mock=False) robot_config.leader_arms["main"].port = leader_port robot_config.follower_arms["main"].port = follower_port return make_robot_from_config(robot_config) if __name__ == "__main__": # Create argparse for script-specific arguments parser = argparse.ArgumentParser(add_help=False) # Set add_help=False to avoid conflict parser.add_argument( "--mode", type=str, default="joint", choices=["joint", "ee"], help="Mode to run the script in. Can be 'joint' or 'ee'.", ) parser.add_argument( "--control-time-s", type=int, default=30, help="Time step to use for control.", ) parser.add_argument( "--robot-type", type=str, default="so100", help="Robot type (so100, koch, aloha, etc.)", ) # Only parse known args, leaving robot config args for Hydra if used args = parser.parse_args() # Create robot with the appropriate config robot = make_robot(args.robot_type) if args.mode == "joint": find_joint_bounds(robot, args.control_time_s) elif args.mode == "ee": find_ee_bounds(robot, args.control_time_s) if robot.is_connected: robot.disconnect()